PVML is a data access platform that utilizes differential privacy to enable secure, real-time analytics on sensitive datasets without exposing personally identifiable information. This technology allows organizations to maintain compliance with privacy regulations while facilitating safe data sharing and collaboration across teams and third parties.
Funding
$8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Organizations struggle to analyze sensitive data due to privacy risks, making it difficult to extract real-time insights and leverage AI for data analysis. Existing data access solutions often require removing or redacting sensitive information, which limits the data's utility and prevents real-time use cases.
Solution
PVML provides a secure data access platform that enables organizations to analyze and apply machine learning to sensitive data while maintaining privacy. The platform uses differential privacy, a mathematical framework that adds statistical noise to computations, ensuring that outputs are private and secure. PVML's technology allows companies to connect, provide access to, and guarantee privacy across multiple data sources, enabling real-time insights from sensitive data. The platform also incorporates retrieval-augmented generation (RAG) capabilities, providing secure access to both structured and unstructured data, enhancing the power of AI models.
Target Audience
PVML targets organizations that handle sensitive data and need to perform real-time analytics and AI-driven analysis while maintaining compliance with privacy regulations.
Features
- Differential Privacy technology to provide mathematically guaranteed private outputs by introducing randomization to the computation
- Integration with AI to analyze data using free text, replacing complex queries
- Ability to perform real-time, online analytics without worrying about privacy risks
- Secure access for third parties without sharing or moving sensitive data
- Integration with existing identity and access management (IAM) solutions
- Compatibility with SQL, BI, and API data access methods
- Natural language interface to analyze data with AI for non-technical users
- Ability to create unique analytics flows using SQL notebooks, free text chats, and Python code